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ISCApad #293 |
| Tuesday, November 08, 2022 by Chris Wellekens |
6 Jobs
| 6-1 | (2022-06-01) Research positions @ L3i Lab, La Rochelle, France Cross-lingual and cross-domain terminology alignment
Interested in joining a young NLP group of 10+ people located in a historical town by the Atlantic Ocean? And walk 10 minutes from the lab to the beach. We have open positions in the context of recent Horizon 2020 projects: Embeddia and NewsEye as well as related local projects. In the last 2 years, we have among others published long papers in CORE A* and A conferences such as ACL, JCDL, CoNLL, ICDAR, COLING, ICADL, etc. Location: L3i laboratory, La Rochelle, France Duration: 2 years (1+1), with possible further extension Net salary range: 2100€-2300 € monthly Context: H2020 Embeddia project and regional project Termitrad Start: September 2022 (tentatively)
To address this very project, the project team will consist of senior staff, 2 post-doctoral researchers and 2-3 PhD students, one of which is jointly supervised in the Józef Stefan Institute in Ljubljana, coordinator of H2020 Embeddia. In this context, you will first be in charge of building a state of the art of existing related approaches, tools and resources, then to conduct further research and experiments, as well as participate in the supervision of PhD students.
- - PhD in statistical NLP, IR, or ML, ideally with further postdoctoral experience - - proven record of high-level publications in one or more of those fields - - fluency in written and spoken English (French language skills are welcome but unnecessary)
Applications including a CV and a one-page research statement discussing how the candidate's background fits requirements and topic are to be sent to by email to antoine.doucet@univ-lr.fr, strictly with the subject 'Embeddia/Termitrad postdoc application'. Application deadline: 14 June 2022.
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| 6-2 | (2022-06-01) Post-doc @L3i, La Rochelle, France -- Post-doctoral research position - L3i - La Rochelle France Title : Emotion detection by semantic analysis of the text in comics speech balloons
The L3i laboratory has one open post-doc position in computer science, in the specific field of natural language processing in the context of digitised documents.
Duration: 12 months (an extension of 12 months will be possible) Position available from: As soon as possible Salary: approximately 2150 € / month (net) Place: L3i lab, University of La Rochelle, France Specialty: Computer Science/ Document Analysis/ Natural Language Processing Contact: Jean-Christophe BURIE (jcburie [at] univ-lr.fr) / Antoine Doucet (antoine.doucet [at] univ-lr.fr)
Position Description The L3i is a research lab of the University of La Rochelle. La Rochelle is a city in the south west of France on the Atlantic coast and is one of the most attractive and dynamic cities in France. The L3i works since several years on document analysis and has developed a well-known expertise in ‘Bande dessinée”, manga and comics analysis, indexing and understanding. The work done by the post-doc will take part in the context of SAiL (Sequential Art Image Laboratory) a joint laboratory involving L3i and a private company. The objective is to create innovative tools to index and interact with digitised comics. The work will be done in a team of 10 researchers and engineers. The team has developed different methods to extract and recognise the text of the speech balloons. The specific task of the recruited researcher will be to use Natural Language Processing strategies to analyse the text in order to identify emotions expressed by a character (reacting to the utterance of another speaking character) or caused by it (talking to another character). The datasets will be collections of comics in French and English.
Qualifications Candidates must have a completed PhD and a research experience in natural language processing. Some knowledge and experience in deep learning is also recommended.
General Qualifications • Good programming skills mastering at least one programming language like Python, Java, C/C++ • Good teamwork skills • Good writing skills and proficiency in written and spoken English or French
Applications Candidates should send a CV and a motivation letter to jcburie [at] univ-lr.fr and antoine.doucet [at] univ-lr.fr. Applications will be considered from 9 June onwards, and until a candidate is hired
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| 6-3 | (2022-06-07) Postdoctoral fellowship, Northwestern University, USA Postdoctoral fellowship in corpus phonetics / data science for speech, Northwestern University
Northwestern University requires all staff and faculty to be vaccinated against COVID-19, subject to limited exceptions. For more information, please visit our COVID-19 and Campus Updates website.
The Northwestern University campus sits on the traditional homelands of the people of the Council of Three Fires, the Ojibwe, Potawatomi, and Odawa as well as the Menominee, Miami and Ho-Chunk nations. We acknowledge and honor the original people of the land upon which Northwestern University stands, and the Native people who remain on this land today.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Click for information on EEO is the Law.
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| 6-4 | (2022-06-07) PhD grant @ INRIA, France Inria is opening a fully funded PhD position on multimodal speech
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| 6-5 | (2022-06-15) Ingénieur.e science des données et corpus, Laboratoire d’Informatique de Grenoble, France Ingénieur.e science des données et corpus – Laboratoire d’Informatique de Grenoble
Analyse, conception, mise en forme et diffusion des corpus vocaux et multimodaux du LIG et du LIDILEM
Poste à pourvoir : ingénieur - CDD Durée : 1 an (possibilité de prolongation) Début : à partir du 1er septembre 2022 Date limite de candidature : 30 juin 2022 Lieu : Laboratoire d’informatique de Grenoble – Équipe Getalp Domaine : Traitement Automatique des Langues et de la Parole
Contexte Le poste à pouvoir est soutenu par la Chaire Artificial Intelligence & Language de l'Institut MIAI Grenoble Alpes. MIAI est un centre d’excellence en intelligence artificielle qui vise à conduire des recherches au plus haut niveau, à proposer des enseignements attractifs pour les étudiant.e.s et les professionnel.le.s de tous les niveaux, à soutenir l'innovation dans les grandes entreprises, les PMEs et les startups et enfin à informer et interagir avec les citoyen.ne.s sur tous les aspects de l'IA. La personne recrutée sera hébergée au sein de l'équipe GETALP du Laboratoire d'Informatique de Grenoble (LIG), qui offre un cadre dynamique, international et stimulant pour mener des recherches pluridisciplinaires de haut niveau. L'équipe GETALP est hébergée dans un bâtiment moderne (IMAG) situé sur un campus paysager de 175 hectares qui a été classé huitième plus beau campus d'Europe par le magazine Times Higher Education en 2018.
Missions confiées
Vous travaillerez en étroite collaboration avec des doctorants, des stagiaires et des chercheurs du bassin Grenoblois de l’institut MIAI. Vous bénéficierez également des compétences et de l'environnement de recherche de 2 unités de recherche : le LIG (https://www.liglab.fr) et le LIDILEM (https://lidilem.univ-grenoble-alpes.fr/).
Compétences
Instructions pour postuler Les candidatures sont attendues jusqu'au 30 juin 2022. Veuillez envoyer votre CV + une lettre/message de motivation + les notes de vos études antérieures + des références pour une ou plusieurs lettres de recommandation potentielles à :
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| 6-6 | (2022-06-10) Associate Teaching Professor @ University of Cambridge, Department of Engineering, Cambridge, UK Job opportunity: Associate Teaching Professor at the University of Cambridge, Department of Engineering
We're advertising for an Associate Teaching Professor who will be the Course Director of the Machine Learning and Machine Intelligence (MLMI) MPhil. The post will involve teaching and the post-holder can be research active e.g. they can start and run their own research group. The main expertise could be in any field related to the MPhil including: machine learning, machine intelligence, speech and language processing, signal processing, control, robotics, human-computer interaction, computer vision, and high performance computing.
Advert: https://www.jobs.cam.ac.uk/job/35215/
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| 6-7 | (2022-06-10) Associate Teaching Professor at the University of Cambridge, Department of Engineering , UK Job opportunity: Associate Teaching Professor at the University of Cambridge, Department of Engineering
We're advertising for an Associate Teaching Professor who will be the Course Director of the Machine Learning and Machine Intelligence (MLMI) MPhil. The post will involve teaching and the post-holder can be research active e.g. they can start and run their own research group. The main expertise could be in any field related to the MPhil including: machine learning, machine intelligence, speech and language processing, signal processing, control, robotics, human-computer interaction, computer vision, and high performance computing.
Advert: https://www.jobs.cam.ac.uk/job/35215/
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| 6-8 | (2022-06-11) Chaire de professeur junior au CNRS, France Le CNRS ouvre un poste attractif en Apprentissage Automatique pour le Traitement Automatique des Langues. Il s'agit d'une 'Chaire Professeur Junior', un type de poste créé cette année, qui offre un accès direct à un poste permanent de Directrice ou Directeur de Recherche CNRS au bout de 3 à 6 ans.
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| 6-9 | (2022-06-12) Postdocs at the Speech Prosody Special Interest Group To the Speech Prosody Special Interest Group,
We are looking for two postdocs (2 years each in the first instance) to work on intonation and intonation pragmatics as part of SPRINT (sprintproject.io). We would appreciate it if you could share the information with your networks, especially because we have a short deadline for applications (19 June).
The job descriptions and other details can be found at the links below, but potential applicants can get in touch with me as well (using my Radboud address, amalia.arvaniti@ru.nl)
Please note that the previous links we sent don’t work, these are the new links and should work.
regards to all,
Amalia Arvaniti
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| 6-10 | (2022-06-14) Multiple faculty positions at National Yang Ming Chiao Tung University (NYCU), Taiwan National Yang Ming Chiao Tung University (NYCU), one of the top-ranked universities in Taiwan, invites applications for multiple faculty positions (assistant, associate, full, and chair professors), in the Institute of Artificial Intelligence Innovation (IAII). IAII is part of the newly established Industry Academia Innovation School (IAIS) in NYCU, with major focuses on innovations in artificial intelligence (https://iais.nycu.edu.tw/). IAII/NYCU is located in Hsinchu Science Park, Taiwan’s “Silicon Valley”, wherein over two thirds of the CEOs and managers are NYCU graduates.
With the determination to facilitate industry–government–academia–research collaboration to drive the next-generation industry development, we are looking for strong candidates in the broader area of artificial intelligence, data science, security, information engineering, broadband communication, and Internet of Things. Applicants are expected to conduct outstanding research and be committed to teaching, in collaboration with world-class ICT industry partners.
Applicants should submit the following items: ● Cover letter ● Curriculum Vitae ● Research statement ● Teaching statement ● Publication list ● Three or more reference letters ● Any other PDF-formatted supporting materials (optional). Please address all inquiries and nominations to Prof. Wen-Huang Cheng, Director of the IAII via email (whcheng@nycu.edu.tw). -- Wen-Huang Cheng (鄭文皇)
Distinguished Professor,
Department of Electronics Engineering | Institute of Electronics
College of Electrical and Computer Engineering,
National Chiao Tung University (NCTU), Taiwan
Director,
NCTU Artificial Intelligence Graduate Program
Email: whcheng@nctu.edu.tw
Phone: +886-(0)3-5712121 ext 54289
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| 6-11 | (2022-06-22) Doctoral Researcher, Institute of Linguistics, JWGoethe University, Frankfurt/Main, Germany The Johann Wolfgang Goethe University Frankfurt am Main is one of the largest universities in Germany with around 48,000 students and with about 5,000 employees. Founded in 1914 by Frankfurt citizens and since 2008 once again proud of its foundation status Goethe University possesses a high degree of autonomy, modernity and professional diversity. As a comprehensive university, the Goethe University offers a total of 16 departments on five campuses and more than 100 degree programs along with an outstanding research reputation.
The Institute of Linguistics at the Department of Modern Languages of Goethe University Frankfurt am Main offers a position in cotutelle with the Department of Translation and Language Sciences at Universitat Pompeu Fabra, Barcelona, in the project “Co-Speech Gestures and Prosody as Multimodal Markers of Information Structure” as a
Doctoral Researcher (E13 TV-GU, 65% part-time) starting October 1st 2022
funded for 3 years by the German Science Foundation (Deutsche Forschungsgemeinschaft DFG). The salary grade includes social benefits and is based on the job characteristics of the collective agreement applicable to Goethe University (TV-G-U). We offer a 3-year doctoral co-tutelle position to work within a collaborative team. The main focus of the doctoral research will be to assess the multimodal markers of IS in Catalan. The project will be run in close collaboration with the team assessing the multimodal markers of IS in German. The two teams involved are the Prosodic Studies Group at UPF (IP: Dr. Pilar Prieto) and the Phonology Lab at the Institute of Linguistics in Frankfurt (PI: Dr. Frank Kügler). The project is part of the DFG Priority Progamme 2329 “Visual Communication” (https://vicom.info). The ideal candidate has a strong background in linguistics and linguistic experimentation, is highly motivated and interested in the assessment of prosodic and gestural markers in language. Knowledge of Catalan will be required to run the experiments. To qualify for a doctoral position in Linguistics the candidate should hold a master’s degree in Linguistics, Philology, Psychology, or equivalent.
All required documents should be emailed as a pdf file (preferably as one document) to Frank Kügler (Kuegler@em.uni-frankfurt.de) and Pilar Prieto (pilar.prieto@upf.edu) up to July 15th, 2022. For more information, please contact Frank Kügler and Pilar Prieto.
The Goethe University is committed to a policy of providing equal employment opportunities for both men and women alike, and therefore encourages particularly women to apply for the position/s offered. Individuals with severe disability will be prioritized in case of equal qualification.
Prof. Dr. Frank Kügler
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| 6-12 | (2022-06-22) 2 postdocs @Radbout University, Nijmegen, The Netherlands We are looking for two postdocs (2 years each in the first instance) to work on intonation and intonation pragmatics as part of SPRINT (sprintproject.io). We would appreciate it if you could share the information with your networks, especially because we have a short deadline for applications (19 June).
The job descriptions and other details can be found at the links below, but potential applicants can get in touch with me as well (using my Radboud address, amalia.arvaniti@ru.nl)
Please note that the previous links we sent don’t work, these are the new links and should work.
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| 6-13 | (2022-06-23) Post-Doctoral/PhD position at Telecom-Paris Post-Doctoral/PhD position at Telecom-Paris on Deep learning approaches for social computing
*Place of work* Telecom Paris, Palaiseau (Paris outskirt)
*Starting date* From September 2022 (but can start later)
*Context* The PhD student/post-doctoral fellow will take part in the REVITALISE project, funded by ANR ( viRtual bEhaVioral skIlls TrAining for pubLIc SpEaking). The research activity will bring together the research topics of Prof. Chloé Clavel [Clavel] of the S2a [SSA] team at Telecom-Paris– social computing [SocComp] - and Dr. Mathieu Chollet [Chollet] from University of Glasgow – multimodal systems for social skills training, and Dr Beatrice Biancardi [Biancardi] – Social Behaviour Modelling from CESI Engineering School, Nanterre.
* Candidate profile* As a minimum requirement, the successful candidate should have: • A master degree in one or more of the following areas: human-agent interaction, deep learning, computational linguistics, affective computing, reinforcement learning, natural language processing, speech processing • Excellent programming skills (preferably in Python) • Excellent command of English
*How to apply* The application should be formatted as **a single pdf file** and should include: • A complete and detailed curriculum vitae • A cover letter • The contact of two referees
For the post-doctoral fellow position, additional documents are required:
• The defense and Phd reports • The contact of two referees
The pdf file should be sent to the three supervisors: Chloé Clavel, Beatrice Biancardi and Mathieu Chollet: chloe.clavel@telecom-paris.fr, bbiancardi@cesi.fr, mathieu.chollet@glasgow.ac.uk
Multimodal attention models for assessing and providing feedback on users’ public speaking ability
*Keywords* human-machine interaction, attention models, recurrent neural networks, Social Computing, natural language processing, speech processing, non-verbal behavior processing, multimodality, soft skills, public speaking
*Supervision* Chloé Clavel, Mathieu Chollet, Beatrice Biancardi
*Description* Oral communication skills are essential in many situations and have been identified as core skills of the 21st century. Technological innovations have enabled social skills training applications which hold great training potential: speakers’ behaviors can be automatically measured, and machine learning models can be trained to predict public speaking performance from these measurements and subsequently generate personalized feedback to the trainees. The REVITALISE project proposes to study explainable machine learning models for the automatic assessment of public speaking and for automatic feedback production to public speaking trainees. In particular, the recruited intern will address the following points: - identify relevant datasets for training public speaking and prepare them for model training - propose and implement multimodal machine learning models for public speaking assessment and compare them to existing approaches in terms of predictive performance. - integrate the public assessment models to produce feedback a public speaking training interface, and evaluate the usefulness and acceptability of the produced feedback in a user study The results of the project will help to advance the state of the art in social signal processing, and will further our understanding of the performance/explainability trade-off of these models.
The compared models will include traditional machine learning models proposed in previous work [Wortwein] and sequential neural approaches (recurrent networks) that integrate attention models as a continuation of the work done in [Hemamou_a], [Hemamou_b][BenYoussef]. The feedback production interface will extend a system developed in previous work [Chollet21].
Selected references of the team: [Hemamou_a] L. Hemamou, G. Felhi, V. Vandenbussche, J.-C. Martin, C. Clavel, HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews. in AAAI 2019 [Hemamou_b] Leo Hemamou;Arthur Guillon;Jean-Claude Martin;Chloe Clavel, Multimodal Hierarchical Attention Neural Network: Looking for Candidates Behaviour which Impact Recruiter’s Decision, IEEE Trans. of Affective Computing, Sept. 2021 [Ben-Youssef] Atef Ben-Youssef, Chloé Clavel, Slim Essid, Miriam Bilac, Marine Chamoux, and Angelica Lim. Ue-hri: a new dataset for the study of user engagement in spontaneous human-robot interactions. In Proceedings of the 19th ACM International Conference on Multimodal Interaction, pages 464–472. ACM, 2017. [Wortwein] Torsten Wörtwein, Mathieu Chollet, Boris Schauerte, Louis-Philippe Morency, Rainer Stiefelhagen, and Stefan Scherer. 2015. Multimodal Public Speaking Performance Assessment. In Proceedings of the 2015 ACM on International Conference on Multimodal Interaction (ICMI '15). Association for Computing Machinery, New York, NY, USA, 43–50. [Chollet21] Chollet, M., Marsella, S., & Scherer, S. (2021). Training public speaking with virtual social interactions: effectiveness of real-time feedback and delayed feedback. Journal on Multimodal User Interfaces, 1-13.
Other references: [TPT] https://www.telecom-paristech.fr/eng/ [IMTA] https://www.imt-atlantique.fr/fr [SSA] http://www.tsi.telecom-paristech.fr/ssa/# [PACCE] https://www.ls2n.fr/equipe/pacce/ [Clavel] https://clavel.wp.imt.fr/publications/ [Chollet] https://matchollet.github.io/ [Biancardi] https://sites.google.com/view/beatricebiancardi -Rasipuram, Sowmya, and Dinesh Babu Jayagopi. 'Automatic multimodal assessment of soft skills in social interactions: a review.' Multimedia Tools and Applications (2020): 1-24. -Sharma, Rahul, Tanaya Guha, and Gaurav Sharma. 'Multichannel attention network for analyzing visual behavior in public speaking.' 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2018. -Acharyya, R., Das, S., Chattoraj, A., & Tanveer, M. I. (2020, April). FairyTED: A Fair Rating Predictor for TED Talk Data. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 34, No. 01, pp. 338-345).
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| 6-14 | (2022-06-27) PhD grant @ LIS, Marseille Candidat(e) pour une thèse de doctorat en informatique sur un projet collaboratif susceptible d'être financé par la DGA. La thèse se déroulera au sein de l'équipe R2I ( Recherche d'informations et interactions) du pôle Sciences des données du LIS (Marseille) Sujet de thèse de doctoratTitre : Génération automatique de résumés fluides de textes en français par apprentissage profondEncadrement : Prof. Patrice BELLOT (https://cv.archives-ouvertes.fr/patrice-bellot ; Université d’Aix-Marseille CNRS, LIS), Adrian CHIFU (https://adrianchifu.com ; Université d’Aix-Marseille CNRS, LIS)Période : octobre 2022 - septembre 2025 Mots clés : résumé automatique, fluidification textuelle, recherche d’information, traitement automatique des langues, apprentissage automatique, réseaux neuronauxContexte : Projet collaboratif susceptible d’être soutenu par la DGA entre :
Description du sujet :Le contexte du projetDevant la croissance exponentielle des volumes de données et particulièrement de la documentation de type texte (manuels, publications, sites internet, etc.), une solution est de permettre d’accéder facilement aux éléments essentiels, au travers de résumés des textes les plus pertinents dans le contexte utilisateur. Or à ce jour les résumés automatiques restent perfectibles, aussi bien du point de vue de la couverture informationnelle que de leur susceptibilité à créer de fausses informations ou encore de leur fluidité de la lecture, critère qui est la cible première de cette thèse. Le but du projet RAFFAL est d’améliorer les technologies automatiques (par IA) de résumés de documents en français selon l’angle des métriques qui les régissent en tant que fonction objective (apprentissage automatique de modèles) et mesure d’évaluation humaine. Par ailleurs, les algorithmes, modèles et jeux de données de nouvelle génération basés sur les technologies les plus récentes de d’apprentissage profond (notamment de type Transformeret modèles séquence à séquence) sont pratiquement exclusivement en langue anglaise et doivent être testées et adaptées au français. Le domaine du résumé automatique est confronté depuis longtemps au manque de métriques d’évaluationautomatique de la qualité des résumés fournis suffisamment fiables ; ce manque de métriques d’évaluation est un frein majeur à l’industrialisation et au déploiement des technologies de résumés automatiques pour lesquels des critères de confiance et de pilotage sont indispensables. Plan de travailLe plan de travail comprend deux volets majeurs. Le premier correspond à une étude des propriétés et des limites des métriques existantes et à leur adaptation au français. Le second correspond à la modification des fonctions objectives utilisées pour l’entraînement des modèles selon les métriques adaptées et de nouvelles métriques.La thèse que nous proposons attaquera tout d’abord la définition de la fluidité. Les mesures de fluidité et de qualité d’un résumé existantes, généralement pour l’anglais, seront étudiées et adaptées à la langue française. Il s’agit par exemple de revisiter le lien entre les mesures existantes, les différentes dimensions qualitatives d’un résumé et leur implémentation au sein d’une architecture neuronale notamment de type séquence à séquence (profondeur des représentations et niveaux d’abstraction, mécanismes attentionnels...). Les ressources linguistiques et les corpus de textes utiles devront être identifiés. Des évaluateurs humains pourront être impliqués et nous devons à la fois étudier des mesures d’accord inter-annotateurs et analyser leurs profils, selon leur niveau de connaissance de la thématique du résumé par exemple. Une évaluation en ligne pourrait permettre d’identifier les points complexifiant la lecture et conduire à de nouvelles métriques qui influeront à leur tour la création dynamique d’un résumé (approche par renforcement, réécriture alternative, complétion informationnelle par extraction d’information ou annotation sémantique). La fluidité sera étudiée en tant que fonction objectif pour l’optimisation du « compromis » entre la perte informationnelle et les phénomènes d’hallucination (collaboration avec une autre thèse effectuée en parallèle au sein du laboratoire ISIR de Paris Sorbonne Université). Nous allons étudier l’équilibre entre la fluidité, d’une part, et la qualité et la complétude informationnelles, d’autre part (ex. : le « compromis » entre la précision et le rappel, pour les résultats d’un moteur de recherche). Cette phase nécessitera l’identification des informations essentielles, des éléments textuels centraux des textes à résumer et pourra être approchée par le biais de systèmes questions-réponses. Enfin, la fluidité d’un résumé étant dépendante du contexte, il est nécessaire d’étudier son caractère subjectif, notamment en tenant compte des types de texte (actualités, prises de position, interviews avec dialogues, articles scientifiques...) et des priorités du résumé (couverture des points de vue et des opinions sur un sujet sans perte de l’identification des sources, synthèse factuelle autour d’un événement...). Chaque étape fera l’objet d’expérimentations sur des données et problématiques réelles, en collaboration avec le partenaire industriel du projet. Les propositions de la thèse s’inscriront dans le cadre de la science ouverte (publications, données et modèles lorsque cela est possible, codes source). Profil de candidature :Parcours antérieur : Master 2 Informatique orienté Recherche en IA ou en TAL ou équivalent Langue : Français (niveau minimum C1) Langage de programmation : Python Connaissances et compétences souhaitées : - apprentissage automatique statistique, architectures neuronales, transformeurs - classification automatique de documents - annotation de corpus - outils et ressources du Traitement Automatique des Langues - modèles de langue et représentations textuelles - résumé automatique, génération de textes, simplification de textes - recherche d’information et questions-réponses
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| 6-15 | (2022-07-07) Two internship positions @ Naver Labs Europe Naver Labs Europe (https://europe.naverlabs.com/) is currently offering 2 internship positions related to Speech Processing.
More details on both job offers can be found here:
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| 6-16 | (2022-07-17) Two PhD positions at Quality and Usability Lab, Technical University of Berlin, Germany Two PhD positions at Quality and Usability Lab, Technical University of Berlin, Germany
Two PhD positions at Quality and Usability Lab, Technical University of Berlin, Germany
We are looking to recruit two Doctoral Researchers to join Quality and Usability Lab, at Technical University of Berlin, Germany. Both positions are research assistant positions (TVL-E13) and depending on follow up funding to be continued until doctorate thesis can be finished. The Quality and Usability Lab is part of TU Berlin’s Faculty IV and deals with the design and evaluation of human-machine interaction, in which aspects of human perception, technical systems and the design of interaction are the subject of our research. We focus on self-determined work in an interdisciplinary and international team; for this we offer open and flexible working conditions that promote scientific and personal exchange and are a prerequisite for excellent results.
The research is in the area of the assessment of the quality of speech services using a crowdsourcing approach. The aim of the research is to analyze how crowdsourcing-based listening-only and conversational speech quality evaluation experiments can be set up in order to provide valid and reliable results, and how the characteristics of the test participants, the test environment and the playback system can be assessed in online tests. It will be assessed which differences are to be expected between crowdsourcing and laboratory-based speech quality evaluation, and how these differences influence the development of instrumental speech quality prediction models. The results are expected to influence methods for speech quality assessment in crowdsourcing, as they are summarized in ITU-T Recommendation P.808. This project is funded by the Deutsche Forschungsgemeinschaft, DFG, and is limited to a duration until January 31, 2024 (compensation TVL E13). A subsequent ongoing employment is supported if the PhD cannot be finished in running time of the project
The position is open to do research in the field of speech signals analysis, and the assessment of speech quality in different (mobile and fixed) networks. Therefore, speech signals are to be analyzed in listening-only as well as conversational situations in order to get indications or the perceived quality. Based on these analysis, signal-based and parametric models for the estimation of speech quality can be extended and integrated. One focus of the present research may be the evaluation of new speech codecs in different network scenarios. The models are to be validated based on subjective listening and conversation tests.
The initial funding is available from September 1st, 2022 and is limited until April 30th, 2023; however, the outcomes of the research should be used to support the preparation of a new project application, and may also become a foundation for a later PhD thesis. A subsequent position as a research assistant from the project funds would be possible if the funds were approved.
2.1 Tasks
2.2. Requirements
Application For both positions, please send the following documents, bundled in a single PDF file, to Prof. Dr.-Ing. Sebastian Möller bewerbung@qu.tu-berlin.de: Letter of application, curriculum vitae, copies of certificates, job references. Please also specify for which position you are applying. To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored.
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| 6-17 | (2022-07-28) PhD Position : Naver Labs Europe (France) and FBK Trento (Italy)PhD Position : Naver Labs Europe (France) and FBK Trento (Italy) start Nov 2022Have you recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a related area? Are you interested in carrying out research on Speech-to-Speech Translation during the next few years? Are you excited to spend a part of your life in 2 pleasant alpine cities in France (Grenoble) and Italy (Trento) ?
WE ARE LOOKING FOR YOU!!!
The Machine Translation (MT) group at Fondazione Bruno Kessler (Trento, Italy) in conjunction with Naver Labs Europe (Grenoble, France) are pleased to announce the availability of the following fully-funded Ph.D. position at the Doctorate Program in Industrial Innovation of the University of Trento and Fondazione Bruno Kessler.
PhD topic: Unified Foundation models for Speech-to-Speech Translation
The deadline for application: August 23rd.
More details here: http://tinyurl.com/PhD-FBK-NLE
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| 6-18 | (2022-07-21) Research Opportunity at INESC TEC / LIAAD, Porto, Portugal Research Opportunity at INESC TEC / LIAAD, Porto, Portugal Funded PhD position, fees covered during the period of the grant
Application deadline 02-August-2022
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| 6-19 | (2022-08-11) PhD position @Gipsa Lab , Grenoble, France L'offre de thèse sur 'le Rôle de la conduction osseuse dans le contrôle de la voix (parole, chant) et de l'expression musicale' (Role of bone conducted feedback in the control of voice (speech, singing) and musical expression) n'a toujours pas été pourvue : Si vous souhaitez candidater, aller sur le lien suivant :
Bien cordialement, Pierre Baraduc, Coriandre Vilain et Nathalie Henrich Bernardoni *********************************************************************************************************** Offre de thèse sur 'le Rôle de la conduction osseuse dans le contrôle de la voix (parole, chant) et de l'expression musicale' (Role of bone conducted feedback in the control of voice Pour candidater, aller sur le lien suivant : https://emploi.cnrs.fr/Offres/Doctorant/UMR5216-CHRROM-018/Default.aspx
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| 6-20 | (2022-08-22) PhD in ML/NLP – Fairness and self-supervised learning for speech processing, IMAG, Grenoble,France
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| 6-21 | (2022-08-22) PhD in ML/NLP – Efficient, Fair, robust and knowledge informed self-supervised learning for speech processi
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| 6-22 | (2022-08-24) PostDoc position at Grenoble Alps University, Grenoble, France PostDoc position at Grenoble Alps University, France
Summary
The Grenoble Alps University offers a PostDoc position for a highly motivated candidate to be working on the multi-disciplinary research project THERADIA, which aims to create an empathic virtual assistant that accompanies cognitively impaired patients during remediation exercises at home. The successful candidate will have the exciting opportunity to develop new machine learning techniques for the robust detection of affective and cognitive behaviours from newly collected audiovisual data. Models will be incorporated into the virtual agent to tailor the interaction with the patient, using specific interaction scenarios, and these models will be evaluated and fine-tuned in a clinical trial to demonstrate the effectiveness of the agent in supporting patients suffering from cognitive conditions during digital therapies. If successful, the system will be operated nationally and the cognitive remediation sessions will be covered by social security. Duration: 2 years,
Salary: according to experience (up to 4142€ / month)
Envisaged starting date: November 2022
Scientific environment
The person recruited will be hosted within the GETALP team of the Laboratoire d’Informatique de Grenoble (LIG), which offers a dynamic, international, and stimulating framework for conducting high-level multi-disciplinary research. The GETALP team is housed in a modern building (IMAG) located on a 175-hectare landscaped campus that was ranked as the eighth most beautiful campus in Europe by Times Higher Education magazine in 2018.
Requirements
The ideal candidate must have a PhD degree and a strong background in machine learning, and affective computing or cognitive science/neuroscience.
The successful candidate should have:
· Excellent knowledge of machine learning techniques
· Good knowledge of speech and/or image processing
· Good knowledge of experimental design and statistics
· Strong programming skills in Python
· Excellent publication record
· Willing to work in multi-disciplinary and international teams
· Good communication skills
Application
Applications are expected to be received on an ongoing basis and the position will be open until filled. Applications should be sent to Fabien Ringeval (fabien.ringeval@imag.fr) and François Portet (francois.portet@imag.fr). The application file should contain:
· Curriculum vitae
· Recommendation letter
· One-page summary of research background and interests
· At least three publications demonstrating expertise in the aforementioned areas
· Pre-defence reports and defence minutes; or summary of the thesis with date of defence for those currently in doctoral studies
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| 6-23 | (2022-08-25) Post-doc @IMT Atlantique, France In the framework of the European/Japanese e-VITA project (https://www.e-vita.coach/), IMT Atlantique is offering a 15-month post-doctoral position in the field of active living technologies (IoT, data fusion, AI, cloud/edge architectures, user services, coaching, NLP, etc.).
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| 6-24 | (2022-08-26) Ingénieur.e de recherche, Laboratoire Parole et Langage, Aix-en-Provence, France Plateforme EEG & Oculométrie qui aura pour missions :
Il s'agit d'un CDD de 4 mois à partir de 10/2022 à Aix-en-Provence.
Info & candidature : https://emploi.cnrs.fr/Offres/CDD/UMR7309-STELHU-003/Default.aspx
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| 6-25 | (2022-09-02) Research Assistant, TUBerlin, GermanyResearch Assistant for Conversational Speech Quality Assessment and Prediction - salary grade E 13 TV-L Berliner Hochschulenpart-time employment may be possible Hire DateThe start date for the position is planned for November 1st, 2022, qualification goal doctorate. It is limited to a duration until September 30th, 2025 and a subsequent ongoing employment is supported if sufficient third-party-funding is available. About UsThe majority of systems and services that are provided by computer science, electrical engineering and information technology finally are directed to their human users. To successfully build such systems and services, it is essential to investigate and understand users and their behavior when interacting with technology.From this, design principles for human-machine interfaces can be derived and requirements for the underlying technologies can be defined.The Quality and Usability Lab is part of TU Berlin’s Faculty IV and deals with the design and evaluation of human-machine interaction, in which aspects of human perception and communication, technical systems and the design of interaction are the subject of our research. We focus on self-determined work in an interdisciplinary and international team; for this we offer open and flexible working conditions that promote scientific and personal exchange and are a prerequisite for excellent results.TasksThe position is open to do research in the fieldof speech signals analysis, and the assessment of speech quality in different (mobile and fixed) networks. Therefore, speech signalsare to be analyzed in listening-only as well as conversational situations in order to get indications or the perceived quality. Based on these analysis, signal-based and parametric models for the estimation of speech quality can be extended and integrated. One focus of the present research may be the evaluation of new speech codecs in different network scenarios. The models are to be validated based on subjective listening and conversation tests. For this purpose, methods of crowdsourcing can be applied, i. e. real users should carry out the data collection and/or evaluation via an online platform. Scientifically interesting is the comparison of such crowdsourced data to those that can be obtained under laboratory conditions.
The outcomes of the research should be used to support the preparation of a new project application, and may also become a foundation for a later PhD thesis. A subsequent position as a research assistant from the project funds would be possible if the funds were approved.
The concrete tasks include, among other things: Maintaining and further developing a platform to conduct web-based voice calls
Requirements
Compensation
“Tarifvertrag für den öffentlichen Dienst der Länder (TV-L)” (E13, 100%). ApplicationPlease send the following documents, bundled in a single PDF file, to Letter of application, curriculum vitae, copies of certificates, job references.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.
Please send electronic copies only. Original documents will not be returned.
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| 6-26 | (2022-09-02) Research Assistant (2), TUBerlin, GermanyResearch Assistant for Chatbot-based Support for Self-organization During Studies - salary grade E 13 TV-L Berliner Hochschulenpart-time employment may be possible Hire DateThe start date for the position is planned for October 1st, 2022, with the qualification goal doctorate. It is limited to a duration of 26 months and a subsequent ongoing employment is supported if the PhD cannot be finished in the given time. About UsMost systems and services that are provided by computer science, electrical engineering and information technology finally are oriented on the needs of their human users. To build successfully build such systems and services it essential to investigate and understand users and their behavior when interacting with technology.From this, design principles for human-machine interfaces can be derived and requirements for the underlying technologies can be defined.The Quality and Usability Lab is part of TU Berlin’s Faculty IV and deals with the design and evaluation of human-machine interaction, in which aspects of human perception, technical systems and the design of interaction are the subject of our research. We focus on self-determined work in an interdisciplinary and international team; for this we offer open and flexible working conditions that promote scientific and personal exchange and are a prerequisite for excellent results.TasksConception and development of text-based interactive dialogue systems, so-called chatbots, as part of the USOS project (chatbot-based support for self-organization during studies). Machine learning methods are used both to process text-based information and to control dialogs. The range of tasks also includes the design and implementation of graphic user interfaces, e.g., as a web app, Android app or iOS app. The quality and the user experience of the created interaction concepts are then evaluated in the context of user studies.
The specific tasks include:
Professionally experienced employees from our team support you with self-motivated familiarization with the areas of responsibility.Requirements
Compensation“Tarifvertrag für den öffentlichen Dienst der Länder (TV-L)” (E13, 100%) ApplicationPlease send the following documents, bundled in a single PDF file, to Letter of application, curriculum vitae, copies of certificates, job references.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored.
Please send copies only. Original documents will not be returned.
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| 6-27 | (2022-09-02) Research assistant (3), TUBerlin, GermanyResearch Assistant for Multimodal Interactive Assistance for the Digital Collection of Patient-Reported Outcome Measures - salary grade E 13 TV-L Berliner Hochschulenpart-time employment may be possible Hire DateThe start date for the position is planned for December 1st, 2022, with the qualification goal doctorate. It is limited to a duration of 2.5 years and a subsequent ongoing employment is supported if the PhD cannot be finished in the given time. About UsMost systems and services that are provided by computer science, electrical engineering and information technology finally are oriented on the needs of their human users. To build successfully build such systems and services it essential to investigate and understand users and their behavior when interacting with technology.From this, design principles for human-machine interfaces can be derived and requirements for the underlying technologies can be defined.The Quality and Usability Lab (https://tu.berlin/qu) is part of TU Berlin’s Faculty IV and deals with the design and evaluation of human-machine interaction, in which aspects of human perception, technical systems and the design of interaction are the subject of our research. We focus on self-determined work in an interdisciplinary and international team; for this we offer open and flexible working conditions that promote scientific and personal exchange and are a prerequisite for excellent results.TasksConception and development of an interactive natural language-based dialog system, as part of the project MIA-PROM (Multimodal interactive assistance for the digital collection of Patient-Reported Outcome Measures). The project is in the field of outpatient rehabilitation and requires cooperation with researchers (human-machine interaction, technology-sociology, and healthcare) and the intended users. In the subproject Adaptive Dialog, methods of machine learning are used both for the processing of natural language utterances and for the control and adaptation of dialogs. The range of tasks also includes research on the methods and interaction concepts used in the subproject. The quality and user experience of the created interaction concepts are then evaluated in empirical user studies.
The specific tasks include:
Professionally experienced employees from our team support you with self-motivated familiarization with the areas of responsibility.Requirements
Compensation“Tarifvertrag für den öffentlichen Dienst der Länder (TV-L)” (E13, 100%) ApplicationPlease send the following documents, bundled in a single PDF file, to Letter of application, curriculum vitae, copies of certificates, job references.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored.
Please send copies only. Original documents will not be returned.
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| 6-28 | (2022-09-09) Postdoctoral Research Fellow, Tampere University and Tampere University of Applied Sciences, Finland Postdoctoral Research Fellow
(speech and language technology,cognitive science) Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high- impact research and education. Our universities community has its competitive edges in technology, health and society.www.tuni.fi/en Speech and Cognition research group (SPECOG )is part ofComputing Sciences atTampere University within the Faculty of Information Technology and Communication Sciences.SPECOG focuses on interdisciplinary research at the intersection of speechand languagetechnology and cognitive science.We combine advanced signal processing and machine learning methods with empirical large-scale infant data to the study of child language development. We also study how human-like perceptual learning can be applied in artificial intelligence (AI) systems. SPECOG collaborates with several internationally leading research groups within and across disciplinary boundaries, including joint research with psychologists, linguists, phoneticians, and computer scientists. More informationon SPECOG:https://webpages.tuni.fi/specog/index.html Job description We are inviting applications for the position o fa postdoctoral research fellow on the topic of computational modelling of child language development. The position is associated with aproject titled “Modeling Child Language Development using Naturalistic Data at a Scale (L-SCALE)”, where the aim is to develop new practices to training and evaluation of computational models of infant language learning using realistic infant data. These data may include long-form child-centred audio recordings,infant-care giver interaction transcripts, and meta-analyses conducted across a range of behavioural experiments.While the job is located in Finland, the project has a notable emphasis on international collaboration with key partners around the world. The work will be conducted as a member of the SPECOG research groupled by Dr.Okko Räsänen.We are looking for candidates who are interested in human and/or machine language processing, and who are willing to contribute to our cross-disciplinary research efforts in understanding language learning in humans through computational means. In this position, the candidate is expected to: 1)carry out high-quality postdoctora lresearch on computational modelling of early language development and contribute to the development of ecologically plausible model training and evaluation practice. 2)work in close collaboration with other members of the research group, and 3)advise undergraduate/graduate projects on topics related to your own research (with flexibility according to personal interests and career aspirations). Requirements The candidate should hold a doctoral degree (e.g.,PhD or D.Sc.) in language technology, psycholinguistics, cognitive science,computer science,or other relevant area. Candidates who have already completed their doctoral research work but have not yet received their doctoral certificate may also apply. A successful candidate has strong expertise in a)speech and/or language technology or in b) childlanguage Fluent programming (at least Python,Matlab, or R) and oral and written English skills are About the research environment
Finland is among the most stable, free and safe countries in the world, based on prominent ratings by various agencies. It is also ranked as one of the top countries as far as social progress is concerned. Tampere is the largest inland city of Finland, and the city is counted among the major academic hubs in the Nordic countries, offering a dynamic living environment. Tampere region is one of the most rapidly growing urban areas in Finland and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society. Despite its growth, living in Tampere is highly affordable for housing. In addition,the excellent public transport network enables quick, easy,and cheap transportation around the city of Tampere and university campuses.Tampere is also surrounded by vivid nature with forests and lakes, providing countless opportunities for easy-to-access outdoor adventures and refreshment throughout the year. Read more about Finland and Tampere: •https://www.visitfinland.com/about-finland/ •https://finland.fi/ •http://julkaisut.valtioneuvosto.fi/bitstream/handle/10024/161193/MEAEguide_18_2018_T ervetuloaSuomeen_Eng_PDFUA.pdf •https://visittampere.fi/en/
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| 6-29 | (2022-09-12) Postdocs and Software engineering positions, Telecom Paris, France
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| 6-30 | (2022-09-27) Deep learning software expert, CNRS:LSCP, Paris, France Short summary: We are looking for someone with experience with deep learning, ideally using scikit-learn & pytorch, to join our technical team. We specialize in long-form audio-recordings, and your job will be to design, fine-tune, and evaluate neural networks on such data. Conversational French is NOT needed - we work in English!
For more details see https://emploi.cnrs.fr/Offres/CDD/UMR8554-ALECRI1-001/Default.aspx?lang=EN
--------------------------------------------------------------- Alex (Alejandrina) Cristia Researcher, CNRS Laboratoire de Sciences Cognitives et Psycholinguistique 29, rue d'Ulm, 75005, Paris, FRANCE My site: www.acristia.org
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| 6-31 | (2022-09-25) Post-doctorat (H/F) Identification d'expressions genrées at LISN, St Aubin, France Le LISN recrute un post-doc d’un an dans le cadre du projet ANR GEM (Gender Equality Monitor) sur l’identification d'expressions genrées par des représentations vectorielles sur un corpus de transcription de la parole dans les médias. l’offre est détaillée ci-dessous : Post-doctorat (H/F) Identification d'expressions genrées par des représentations vectorielles sur un corpus de transcription de la parole dans les médias Informations générales Référence : UMR9015-CYRGRO-002 Lieu de travail : ST AUBIN Date de publication : samedi 10 septembre 2022 Type de contrat : CDD Scientifique Durée du contrat : 12 mois Date d'embauche prévue : 1 décembre 2022 Quotité de travail : Temps complet Rémunération : Entre 2889,91€ et 4082,9€ bruts mensuels selon expérience Niveau d'études souhaité : Doctorat Expérience souhaitée : 1 à 4 années Missions Le projet GEM (Gender Equality Monitor) vise à analyser les interactions entre femmes et hommes dans les médias (radio et télévision), et plus particulièrement les différences de représentations selon que la personne qui s'exprime est une femme ou un homme, selon son rôle (anonyme, journaliste, politique, etc.), et selon les thèmes abordés. Dans ce projet inter-disciplinaire, les partenaires informatiques (dont le LISN) ont pour mission d'implémenter les descripteurs qui permettront aux partenaires en sciences humaines et sociales de quantifier et qualifier les différences de représentation. https://anr.fr/Projet-ANR-19-CE38-0012 Activités La personne recrutée (H/F) aura en charge de mettre au point des techniques de traitement automatique des langues (TAL) non supervisées ou semi-supervisées appliquées à des corpus de transcriptions automatiques de la parole, pour identifier les 'expressions genrées' telles que les références à des stéréotypes culturels en fonction du genre, les entités nommées traditionnelles ou toute référence à la vie privée, l'âge, le physique, la sexualité, les compétences, etc. De manière secondaire, l'analyse des biais dans les modèles de langue pourra également être conduite. Les corpus sont mis à disposition par le porteur du projet (Institut National de l'Audiovisuel) et se composent : de matinales radios et journaux de télévision du corpus GMMP (Global Monitoring Media Project), d'émissions de radio françaises (émissions culinaires, économiques, sportives, et libre-antennes) pour l'étude des incivilités (interruptions, injures, etc.), et d'émissions de télé-réalité (Loft Story 2001, Les Marseillais à Dubaï 2021). Aucune annotation n'est disponible autour des expressions genrées. La personne recrutée devra donc privilégier des méthodes non supervisées ou semi-supervisées. Ce travail sera co-encadré par Mme Sahar Ghannay (MCF en informatique à l'Université Paris Saclay) et M. Cyril Grouin (IR en informatique au CNRS). Le contrat sera financé par l'Agence Nationale de la Recherche (ANR GEM 2019) porté par David Doukhan (Institut National de l'Audiovisuel). Compétences - très bonne maîtrise du français - traitement automatique des langues et de la parole ; une formation spécifique dans cette discipline est un plus - expérience des plongements lexicaux et réseaux de neurones Contexte de travail Le Laboratoire Interdisciplinaire des Sciences du Numériques (LISN) est une unité installée sur le plateau de Saclay et créée en 2021 de la fusion des laboratoires LIMSI et LRI. Les recherches effectuées au LISN couvrent un large spectre scientifique et sont reconnues à l'international. Le laboratoire comprend plus de 380 membres répartis dans 16 équipes de recherche et 6 services de support et soutien. Les locaux sont intégralement en zone à régime restrictif (ZRR). La personne recrutée travaillera au sein de l'équipe ILES, en lien étroit avec les chercheurs des équipes ILES et TLP impliqués sur le projet, au sein du département Sciences et Technologies des Langues (STL). Contraintes et risques Déplacement possible en Ile-de-France pour les réunions de travail ponctuelle Déplacements nationaux et internationaux en conférence en cas d'article à présenter Travail sur ordinateur
Candidature ici: https://emploi.cnrs.fr/Offres/CDD/UMR9015-CYRGRO-002/Default.aspx
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| 6-32 | (2022-10-12) Internships at AVA France We have two 6 months internship proposals (for M2/Master 2 level) at Ava France ( https://www.ava.me/ ) in Paris (possible remote) on speech diarization. Feel free to apply:
Best regards,
Alexey Ozerov AI Research Lead at Ava
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| 6-33 | (2022-10-25) Postdoc@Telecom Paris (France) Post-Doctoral Position on Neural Models for Dialog Analysis Matthieu Labeau, Gaël Guibon, Chloé Clavel
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| 6-34 | (2022-10-14) Internships @ IRIT Toulouse, France L’équipe SAMoVA de l’IRIT à Toulouse propose plusieurs stages (M1, M2, PFE ingénieur) en 2023 autour des thématiques suivantes (liste non exhaustive) :
- traitement de la parole atypique
- modélisation de la déglutition
- transcription et compréhension de la parole (spoken language understanding)
- segmentation et regroupement en locuteurs (speaker diarization)
- description textuelle de l'audio (audio captioning)
Tous les détails (sujets, contacts) sont disponibles dans la section 'Jobs' de l’équipe :
https://www.irit.fr/SAMOVA/site/jobs/ Hervé Bredin
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| 6-35 | (2022-10-12) Ingenieur AI@INE France Nous recherchons activement un ingénieur en charge des opérations pour le département Évaluation de l’intelligence artificielle et de la cybersécurité du LNE :
Le candidat retenu intégrera une équipe en forte croissance spécialisée en évaluation des systèmes d’IA et intervenant dans de nombreux domaines (TAL, traitement d’images, dispositifs médicaux intelligents, systèmes de mobilité autonomes, robots agricoles, cobots, etc.).
Je me tiens à votre disposition pour tout échange sur cette offre.
Merci d’avance pour vos candidatures et vos partages, à très bientôt ! Guillaume AVRIN, PhD Direction des essais et de la certification
Laboratoire national de métrologie et d'essais
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| 6-36 | (2022-10-12) Positions @University of Texas El Paso, TX, USA Two 3yr postdoc positions testing gesture-speech synchrony
We're looking for two smart and motivated postdocs to join the Speech Perception in Audiovisual Communication lab (SPEAC; https://hrbosker.github.io) at the Donders Institute, Radboud University, Nijmegen, The Netherlands.
Keywords: multimodal prosody, audiovisual speech perception, gesture-speech synchrony, motion-tracking, MEG
>>> PD1
You will test both the production and perception of gesture-speech alignment in nine different languages, including free-stress, fixed-stress, and lexical tone languages. The production strand uses motion-tracking of 2D videos in Mediapipe and acoustic analyses in Praat to quantify gesture-speech alignment on a millisecond timescale. The perception strand involves running psychoacoustic tests with audiovisual stimuli manipulated to vary in the synchrony between hands and spoken prosody. Combining production and perception data will reveal how language-specific variability in gesture-speech alignment shapes the language-specific use of gestural timing in speech perception.
>>> PD2
You will use rapid invisible frequency tagging (RIFT) in MEG to pinpoint the neurobiological mechanisms underlying gesture-speech integration. Specifically, you will test how simple up-and-down beat gestures influence lexical stress perception in real time, using the 'manual McGurk effect' (Bosker & Peeters, 2021, Proc Roy Soc B). Furthermore, you will compare typical behavioural and neural signatures of gesture-speech integration to those in individuals with autism spectrum disorder (ASD) who are known to demonstrate impairments in prosody processing and audiovisual integration. Finally, you will run a large-scale correlational study testing whether the participants' own gestural timing behaviour is linked to their use of gestural timing in audiovisual speech perception.
3 year contract; employment for 0.8 FTE. Gross monthly salary: min €3,974 - max €5,439 (based on 38-hour working week; scale 11). Apply by December 1, 2022. Preferred starting date: March 1, 2023.
Contact: Hans Rutger Bosker, HansRutger.Bosker@donders.ru.nl
This mail was sent through the SProSIG mailing list, which is for announcements of interest to the speech prosody research community. To subscribe/unsubscribe, send mail to list@sprosig.org.
Nigel Ward, Professor of Computer Science, University of Texas at El Paso CCSB 3.0408, +1-915-747-6827 nigel@utep.edu https://www.cs.utep.edu/nigel/
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| 6-37 | (2022-10-17) Research internships @ LIUM, Le Mans France Nous proposons deux stages de recherche (pour le niveau M2/Master 2) au LIUM - Le Mans Université sur le traitement de la parole.
Tous les détails sont disponibles dans la section 'Recrutements' du site du laboratoire, onglet 'Stages' :
Merci de transférer si vous connaissez des étudiant.e.s à la quête de telle opportunité.
Meilleures salutations,
Meysam Shamsi
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| 6-38 | (2022-10-20) Postdoc in Educational Data Mining/Learning Analytics, University of Colorado Boulder, CO, USAPostdoc in Educational Data Mining/Learning AnalyticsLocation: University of Colorado Boulder, Boulder CO, USA
Work type: Full time
Employment type: Research faculty
Anticipated Start Date: Spring 2023 (desired), Summer 2023, or Fall 2023
Salary: $70k-$100k (depending on experience and qualifications)
Position Duration: 1-3 years, Initial contract is for one year. Second year contract is based on performance and extension to a third year and beyond is possible
Brief Job Summary: In this position, you will develop and apply computational techniques to analyze data from students’ log files in conjunction with other multimodal signals (e.g., speech, facial expressions, learning artifacts) during small group human tutoring, intelligent tutoring, and collaborative problem solving. You will also assist with integrating computational models into educational technologies where their performance and impact can be assessed in the real-world.
Please visit the job details page below for more information and to apply:
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| 6-39 | (2022-10-25) OPEN POSITIONS @ ELDA, Paris (France) OPEN POSITIONS in Paris (France)
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